About Us
Cyient is a global technology solutions company that has been enabling clients across industries to transform and thrive in the digital age. With a strong focus on innovation, Cyient leverages advanced analytics, engineering, and digital solutions to deliver measurable business outcomes. Our teams work on cutting-edge technologies including AI, machine learning, IoT, digital twin solutions, and cloud computing to help organizations solve complex problems and achieve operational excellence.
At Cyient, we foster a collaborative and inclusive work environment that encourages continuous learning, creativity, and professional growth. We believe in empowering our employees to take ownership of projects, contribute to real-world solutions, and develop their skills while working alongside industry experts. As a company, we are committed to creating meaningful impact through technology while maintaining ethical business practices and sustainability at the core of our operations.
Joining Cyient means becoming part of a vibrant and forward-thinking organization where innovation meets opportunity. We pride ourselves on delivering excellence to our clients while providing employees with access to world-class tools, resources, and mentorship. Whether you are an aspiring AI/ML professional or an experienced engineer looking to advance your career, Cyient provides a platform to learn, grow, and make a tangible difference.
Job Details
- Job Title: Junior AI/ML Engineer
- Job ID: Not Applicable
- Location: Hyderabad, India (On-site)
- Employment Type: Full-Time
- Batch: 2022 / 2023 / 2024 Eligible
- Experience: 1–3 Years
- Salary: As per Industry Standards
- Qualification: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, IT, Data Science, or related field
- Certifications (if any): Not Mandatory
This role is ideal for individuals who have a passion for building AI and machine learning solutions, enjoy working in a fast-paced environment, and are eager to make a tangible impact in the field of artificial intelligence. Candidates will gain hands-on exposure to practical AI/ML applications, cloud services, and modern MLOps practices while contributing to meaningful projects in domains such as image processing, NLP, and data modeling.
Key Responsibilities
Assist in data preparation, cleaning, and preprocessing to support machine learning model development.
Support model training, evaluation, and fine-tuning using Python-based ML frameworks such as TensorFlow or PyTorch.
Participate in testing and validating ML models to ensure accuracy, robustness, and scalability.
Work on document annotation, information extraction, and labeling tasks for images, objects, and text data.
Contribute to the integration of ML models into workflows via APIs and cloud platforms, specifically Azure.
Collaborate with cross-functional teams including data engineers, data scientists, and product managers to implement end-to-end AI solutions.
Support the deployment of ML models in production environments while learning and applying modern MLOps practices.
Assist in maintaining and improving data pipelines, workflows, and model monitoring processes.
Stay updated with the latest advancements in AI, ML, NLP, and cloud technologies to continuously improve solution delivery.
Document processes, workflows, and best practices for future team reference and knowledge sharing.
Participate in brainstorming sessions to identify opportunities for AI-driven innovation in existing and new projects.
Required Skills
Strong proficiency in Python and SQL for data manipulation, modeling, and automation.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with image processing techniques, document processing, and NLP tasks.
Basic understanding of cloud platforms, with a preference for Azure, including storage, compute, and deployment services.
Experience with data preprocessing, feature engineering, and exploratory data analysis.
Ability to write clean, modular, and well-documented code suitable for collaborative development.
Knowledge of model evaluation metrics and techniques for classification, regression, and clustering.
Exposure to APIs and integrating ML models into production workflows.
Problem-solving mindset and ability to troubleshoot data and model issues effectively.
Eagerness to learn emerging AI/ML concepts such as RAG pipelines, large language models (LLMs), and modern MLOps practices.
Preferred Skills
Experience with cloud-based machine learning services and deployment tools on Azure.
Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
Knowledge of advanced AI/ML techniques including deep learning, computer vision, and NLP pipelines.
Exposure to Git or other version control systems and collaborative development workflows.
Perks and Benefits
Opportunity to work on cutting-edge AI/ML projects in a global technology company.
Mentorship and guidance from experienced AI/ML professionals and data scientists.
Access to learning resources, workshops, and training programs to enhance technical skills.
Collaborative and inclusive work environment that fosters innovation and knowledge sharing.
Competitive compensation and industry-standard benefits including health insurance and paid time off.
Opportunities for career growth and international project exposure.
Why Join Us
Joining Cyient as a Junior AI/ML Engineer provides you with the unique opportunity to work at the intersection of innovation and practical technology. You will be part of a team that designs and implements AI/ML solutions impacting real-world business problems across diverse industries. At Cyient, your contributions are recognized and valued, offering you both professional growth and the satisfaction of solving complex challenges. The organization’s focus on learning, development, and collaboration ensures that you remain at the forefront of emerging technologies, preparing you for a successful and rewarding career in AI and machine learning.
How to Apply
To apply for this role:
Prepare your updated resume.
Highlight your most relevant skills, projects, and achievements.
Click the “Apply Now” link below.
Complete the online application form.
Submit your application and await further communication from our recruitment team.
